Build a PostgreSQL Interface for Gong Data using the CData JDBC Driver

There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using our JDBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.

To access Gong data as a PostgreSQL database, use the CData JDBC Driver for Gong and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query Gong data from PostgreSQL Server.

Connect to Gong Data as a JDBC Data Source

To connect to Gong as a JDBC data source, you will need the following:

• Driver JAR path: The JAR is located in the lib subfolder of the installation directory.

• Driver class:

  cdata.jdbc.api.APIDriver
  

• JDBC URL: The URL must start with "jdbc:api:" and can include any of the connection properties in name-value pairs separated with semicolons.

  To authenticate to Gong, you can use API Key authentication with your Gong API Key and API Secret.

  Authentication

  To authenticate to Gong, you must provide your Gong API Key and API Secret, along with your tenant Domain. These credentials are combined and Base64-encoded to form the Basic authentication header used for all API requests.

  Using API Key Authentication

  To authenticate using an API Key, you need to obtain your API Key and API Secret from your Gong account settings.

  You can then connect by setting the AuthScheme to APIKey and providing your credentials:

  • AuthScheme: Set this to APIKey.
  • APIKey: Set this to your Gong API Key.
  • APISecret: Set this to your Gong API Secret.
  • Domain: Set this to your Gong tenant domain (e.g., us-36533.api.gong.io).

  Example connection string

  Profile=C:\profiles\Gong.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APISecret=your_api_secret;Domain=your-tenant.api.gong.io';
  

  Built-in Connection String Designer

  For assistance in constructing the JDBC URL, use the connection string designer built into the Gong JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

  java -jar cdata.jdbc.api.jar
  

  Fill in the connection properties and copy the connection string to the clipboard.

  

  A typical JDBC URL is below:

  jdbc:api:Profile=C:\profiles\Gong.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APISecret=your_api_secret;Domain=your-tenant.api.gong.io';
  

Build the JDBC Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The jdbc2_fdw extension is used as an example (downloadable here).

1. Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so. For example:

   ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
   

2. Start the build:

   make install USE_PGXS=1
   

Query Gong Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to Gong data:

1. Log into your database.
2. Load the extension for the database:

   CREATE EXTENSION jdbc2_fdw;
   

3. Create a server object for Gong:

   CREATE SERVER API 
   FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS (
   drivername 'cdata.jdbc.api.APIDriver',
   url 'jdbc:api:Profile=C:\profiles\Gong.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key;APISecret=your_api_secret;Domain=your-tenant.api.gong.io';',
   querytimeout '15',
   jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.api.jar'); 
   

4. Create a user mapping for the username and password of a user known to the MySQL daemon.

   CREATE USER MAPPING for postgres SERVER API OPTIONS (
   username 'admin', 
   password 'test');
   

5. Create a foreign table in your local database:

   postgres=# CREATE FOREIGN TABLE answeredscorecards (
   answeredscorecards_id text,
   answeredscorecards_ text,
   answeredscorecards_ numeric) 
   SERVER API OPTIONS (
   table_name 'answeredscorecards');
   

postgres=# SELECT * FROM answeredscorecards;